DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
2018 26th European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇAPAR ABDULKERİM,ÇİMEN YETİŞ SİBEL,TÖREYİN BEHÇET UĞUR,KERMAN BİLAL ERSEN
|
Strengths and weaknesses of deep learning models for face recognition against image degradations
IET Biometrics, Vol. 7, No. 1, Ocak 2018, s. 81-89, ISSN: 2047-4938
GRM KLEMEN,STRUC VİTOMİR,ARTİGES ANAİS,CARON MATTHİEU,EKENEL HAZIM KEMAL
|
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
|
Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
|
A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
IEEE Access, Vol. 8, Ocak 2020, s. 84631-84641, ISSN: 2169-3536
ERDEM DORUKHAN,BEKE AYKUT,KUMBASAR TUFAN
|
Sales Prediction with the Deep Learning Technique: A Case Study of Fast Food Sector
19th INTERNATIONAL SYMPOSIUM ON ECONOMETRICS, OPERATIONS RESEARCH AND STATISTICS, 17 Ekim 2018
ÖNER MAHİR,ÜSTÜNDAĞ ALP,GÜLOĞLU BÜLENT,GÜVEN MURAT
|
Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Cancers, Vol. 13, No. 11, Haziran 2021, s. 1-13, ISSN: 2072-6694
TANRIVER GİZEM, TEKKESİN MERVA SOLUK, ERGEN ONUR
|
Usage of Deep Learning for Image Segmentation from High Resolution Images,
Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği X. Teknik Sempozyumu, Aksaray/TÜRKİYE, 25 Nisan 2019, s. 86-89
ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER,BAYRAM BÜLENT,DURAN ZAİDE
|
Evaluation of Deep Learning Algorithms for 3D Semantic Segmentation in Outdoor Scenes
International Symposium on Applied Geoinformatics 2019, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 381-384
ATİK MUHAMMED ENES,DURAN ZAİDE
|
Vehicle Detection with Different Deep Learning Methods from Video
International Symposium on Applied Geoinformatics 2019, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 234-238
ÇEPNİ SÜMEYYE,ATİK MUHAMMED ENES,DURAN ZAİDE
|
Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
|
The effect of using different feature sets and flight data envelopes on the fidelity of deep learning based system identification of a fighter aircraft
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
MEHMET CAN ŞEN
|
The analytical solutions and deep learning assessment of long waves over linear and nonlinear breadth and depth profiles: 30 October 2020 İzmir tsunami case
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ALİ RIZA ALAN
|
DETERMINATION OF HEAVY DAMAGED AREAS AFTER EARTHQUAKE WITH DEEP
LEARNING METHOD: A CASE STUDY OF KAHRAMANMARAS
9th ASIA PACIFIC INTERNATIONAL MODERN SCIENCES CONGRESS, BAKU/AZERBAYCAN, 16 Ocak 2024
SARIALİOGLU EMİNE,KAYA ŞİNASİ
|
A DEEP LEARNING APPROACH FOR SHORT-TERM SOIL MOISTURE RETRIEVAL USING
CYGNSS
2024 IEEE International Geoscience and Remote Sensing Symposium, 7 Temmuz 2024
ÇEVİKALP MUHAMMED RAŞİT,IŞIK MUSTAFA SERKAN,ÇELİK MEHMET FURKAN,MUSAOĞLU NEBİYE
|
A new distributed anomaly detection approach for log IDS management based on
deep learning
ulakbim, Vol. 29, No. 5, Ocak 2021, ISSN: 1300-0632
ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, SERTBAŞ AHMET
|
MONITORING OF GLACIERS ON HORSESHOE ISLAND, ANTARCTICA BASED ON A
DEEP LEARNING APPROACH FROM HIGH-RESOLUTION ORTHOPHOTOS
(TAE-6 & TAE-7)
8th International Conference on GeoInformation Advances, İstanbul/TÜRKİYE, Vol. 48, No. 4, 11 Ocak 2024, s. 321-327, ISSN: 2194-9034
SELBESOĞLU MAHMUT OĞUZ,BAKIRMAN TOLGA,KARABULUT MUSTAFA FAHRİ,GÜNAYDIN ESRA,VASSILEV OLEG,OKTAR ÖZGÜN,ÖZSOY BURCU
|
ENHANCING RADAR TARGET DETECTION
THROUGH SEMANTIC SEGMENTATION
WITH ADVANCED DEEP LEARNING TECHNIQUES
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NİSANUR BAKIR KOCA
|